ggplot2: Elegant Graphics for Data Analysis

Insular cortex mediates approach and avoidance responses to social affective stimuli

Rogers-Carter, M. M., Varela, J. A., Gribbons, K. B., Pierce, A. F., McGoey, M. T., Ritchey, M., & Christianson, J. P. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0071-y · Cited by 277

Alternative start and termination sites of transcription drive most transcript isoform differences across human tissues

Reyes, A., & Huber, W. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1165 · Cited by 290

Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease

Papa, E., Docktor, M., Smillie, C. S., Weber, S., Preheim, S. P., Gevers, D., Giannoukos, G., Ciulla, D., Tabbaa, D., Ingram, J., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039242 · Cited by 279

Inter-annual and decadal changes in teleconnections drive continental-scale synchronization of tree reproduction

Ascoli, D., Vacchiano, G., Turco, M., Conedera, M., Drobyshev, I., Maringer, J., Motta, R., & Hacket‐Pain, A. J. (2017) · Nature Communications · doi:10.1038/s41467-017-02348-9 · Cited by 286

Collision cross section compendium to annotate and predict multi-omic compound identities

Picache, J. A., Rose, B. S., Balinski, A., Leaptrot, K. L., Sherrod, S. D., May, J. C., & MCLEAN, J. A. J. (2018) · Chemical Science · doi:10.1039/c8sc04396e · Cited by 289

Forest carbon sink neutralized by pervasive growth-lifespan trade-offs

Brienen, R. J. W., Caldwell, L., Duchesne, L., Voelker, S., Barichivich, J., Baliva, M., Ceccantini, G., Di Filippo, A., Helama, S., Locosselli, G. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17966-z · Cited by 287

Spatial variation of the colonic microbiota in patients with ulcerative colitis and control volunteers

Lavelle, A., Lennon, G., O’Sullivan, Ó., Docherty, N. G., Balfe, Á., Maguire, A. A., Mulcahy, H. E., Doherty, G. A., O’Donoghue, D., Hyland, J. M., et al. (2015) · Gut · doi:10.1136/gutjnl-2014-307873 · Cited by 281

Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review

Smid, S. C., McNeish, D., Miočević, M., & van de Schoot, R. (2019) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2019.1577140 · Cited by 312

Benchmarking common quantification strategies for large-scale phosphoproteomics

Hogrebe, A., von Stechow, L., Bekker‐Jensen, D. B., Weinert, B. T., Kelstrup, C. D., & Olsen, J. V. (2018) · Nature Communications · doi:10.1038/s41467-018-03309-6 · Cited by 279

Increasing importance of anthelmintic resistance in European livestock: creation and meta-analysis of an open database

Vineer, H. R., Morgan, E. R., Hertzberg, H., Bartley, D. J., Bosco, A., Charlier, J., Chartier, C., Claerebout, E., Waal, T. D. D., Hendrickx, G., et al. (2020) · Parasite · doi:10.1051/parasite/2020062 · Cited by 280

Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere

Wright, R., Langille, M. G. I., & Walker, T. R. (2020) · The ISME Journal · doi:10.1038/s41396-020-00814-9 · Cited by 289

Comprehensive Audiometric Analysis of Hearing Impairment and Tinnitus After Cisplatin-Based Chemotherapy in Survivors of Adult-Onset Cancer

Frisina, R. D., Wheeler, H. E., Fosså, S. D., Kerns, S. L., Fung, C., Sesso, H. D., Monahan, P. O., Feldman, D. R., Hamilton, R. J., Vaughn, D. J., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.66.8822 · Cited by 278

White matter hyperintensities and normal-appearing white matter integrity in the aging brain

Maniega, S. M., Hernández, M. C. V., Clayden, J. D., Royle, N. A., Murray, C. L., Morris, Z., Aribisala, B. S., Gow, A. J., Starr, J. M., Bastin, M. E., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.07.048 · Cited by 272

Associations between infant fungal and bacterial dysbiosis and childhood atopic wheeze in a nonindustrialized setting

Arrieta, M., Arévalo‐Cortes, A., Stiemsma, L. T., Dimitriu, P. A., Chico, M. E., Loor, S., Vaca, M. G., Boutin, R. C. T., Morien, E., Jin, M., et al. (2017) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.08.041 · Cited by 272

Custom Contrast Testing: Current Trends and a New Approach

Guggenmos, R., Piercey, M. D., & Agoglia, C. P. (2018) · The Accounting Review · doi:10.2308/accr-52005 · Cited by 261

Antigen-Based Testing but Not Real-Time Polymerase Chain Reaction Correlates With Severe Acute Respiratory Syndrome Coronavirus 2 Viral Culture

Pekosz, A. S., Parvu, V., Li, M., Andrews, J. C., Manabe, Y. C., Kodsi, S., Gary, D. S., Roger-Dalbert, C., Leitch, J. M., & Cooper, C. K. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1706 · Cited by 277

The human gene damage index as a gene-level approach to prioritizing exome variants

Itan, Y., Shang, L., Boisson, B., Patin, É., Bolze, A., Moncada‐Vélez, M., Scott, E., Ciancanelli, M. J., Lafaille, F. G., Markle, J., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518646112 · Cited by 271

American Brain Tumor Association Adolescent and Young Adult Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008-2012

Ostrom, Q. T., Gittleman, H. R., de Blank, P. M. K., Finlay, J. L., Gurney, J. G., McKean‐Cowdin, R., Stearns, D. S., Wolff, J. E. A., Liu, M. B., Wolinsky, Y., et al. (2015) · Neuro-Oncology · doi:10.1093/neuonc/nov297 · Cited by 275

quickpsy: An R Package to Fit Psychometric Functions for Multiple Groups

Linares, D., & López‐Moliner, J. (2016) · The R Journal · doi:10.32614/rj-2016-008 · Cited by 265

Microplastics increase impact of treated wastewater on freshwater microbial community

Eckert, E. M., Cesare, A. D., Kettner, M. T., Arias-Andrés, M., Fontaneto, D., Grossart, H., & Corno, G. (2017) · Environmental Pollution · doi:10.1016/j.envpol.2017.11.070 · Cited by 275

Gut bacterial and fungal communities of the domesticated silkworm ( Bombyx mori ) and wild mulberry-feeding relatives

Chen, B., Du, K., Sun, C., Arunprasanna, V., Liang, X., Li, Y., Wang, B., Lu, X., Li, L., & Shao, Y. (2018) · The ISME Journal · doi:10.1038/s41396-018-0174-1 · Cited by 285

Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization

Satyanarayan, A., Russell, R., Hoffswell, J., & Heer, J. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467091 · Cited by 274

Validation and Implementation of Targeted Capture and Sequencing for the Detection of Actionable Mutation, Copy Number Variation, and Gene Rearrangement in Clinical Cancer Specimens

Pritchard, C. C., Salipante, S. J., Koehler, K. M., Smith, C., Scroggins, S. M., Wood, B. L., Wu, D., Lee, M. K., Dintzis, S. M., Adey, A., et al. (2013) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2013.08.004 · Cited by 277

pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components

Marini, F., & Binder, H. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-2879-1 · Cited by 272

Data-based filtering for replicated high-throughput transcriptome sequencing experiments

Rau, A., Gallopin, M., Celeux, G., & Jaffrézic, F. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt350 · Cited by 262

Soil Property and Class Maps of the Conterminous United States at 100‐Meter Spatial Resolution

Ramcharan, A., Tomislav Hengl, A., Nauman, T., Brungard, C., Waltman, S. W., Wills, S., & Thompson, J. A. (2018) · Soil Science Society of America Journal · doi:10.2136/sssaj2017.04.0122 · Cited by 280

Lost in diversity: the interactions between soil‐borne fungi, biodiversity and plant productivity

Mommer, L., Cotton, T. E. A., Raaijmakers, J. M., Termorshuizen, A. J., van Ruijven, J., Hendriks, M., van Rijssel, S. Q., van de Mortel, J. E., van der Paauw, J. W., Schijlen, E. G. W. M., et al. (2018) · New Phytologist · doi:10.1111/nph.15036 · Cited by 276

Genetic analysis of the human microglial transcriptome across brain regions, aging and disease pathologies

Lopes, K. D. P., Snijders, G. J. L., Humphrey, J., Allan, A., Sneeboer, M. A. M., Navarro, E., Schilder, B. M., Vialle, R. A., Parks, M., Missall, R., et al. (2022) · Nature Genetics · doi:10.1038/s41588-021-00976-y · Cited by 273

The AREB1 Transcription Factor Influences Histone Acetylation to Regulate Drought Responses and Tolerance in Populus trichocarpa

Li, S., Lin, Y. J., Wang, P., Zhang, B., Li, M., Chen, S., Shi, R., Tunlaya‐Anukit, S., Liu, X., Wang, Z., et al. (2018) · The Plant Cell · doi:10.1105/tpc.18.00437 · Cited by 275

A single gene underlies the dynamic evolution of poplar sex determination

Müller, N. A., Kersten, B., Montalvão, A. P. L., Mähler, N., Bernhardsson, C., Bräutigam, K., Lorenzo, Z. C., Hoenicka, H., Kumar, V., Mäder, M., et al. (2020) · Nature Plants · doi:10.1038/s41477-020-0672-9 · Cited by 270

Transcriptional and epigenomic landscapes of CNS and non-CNS vascular endothelial cells

Sabbagh, M. F., Heng, J. S., Luo, C., Castanon, R. G., Nery, J. R., Rattner, A., Goff, L. A., Ecker, J. R., & Nathans, J. (2018) · eLife · doi:10.7554/elife.36187 · Cited by 245

Climate change leads to accelerated transformation of high‐elevation vegetation in the central Alps

Lamprecht, A., Semenchuk, P. R., Steinbauer, K., Winkler, M., & Pauli, H. (2018) · New Phytologist · doi:10.1111/nph.15290 · Cited by 271

Immune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem inflammatory syndrome in children

Ramaswamy, A., Brodsky, N. N., Sumida, T. S., Comi, M., Asashima, H., Hoehn, K. B., Li, N., Liu, Y., Shah, A. S., Ravindra, N. G., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.04.003 · Cited by 276

hiCLIP reveals the in vivo atlas of mRNA secondary structures recognized by Staufen 1

Sugimoto, Y., Vigilante, A., Darbo, É., Zirra, A., Militti, C., D’Ambrogio, A., Luscombe, N. M., & Ule, J. (2015) · Nature · doi:10.1038/nature14280 · Cited by 276

Differential specificity between closely related corals and abundant Endozoicomonas endosymbionts across global scales

Neave, M. J., Rachmawati, R., Xun, L., Michell, C., Bourne, D. G., Apprill, A. M., & Voolstra, C. R. (2016) · The ISME Journal · doi:10.1038/ismej.2016.95 · Cited by 269

Design of synthetic bacterial communities for predictable plant phenotypes

Paredes, S. H., Gao, T., Law, T. F., Finkel, O. M., Mucyn, T. S., Teixeira, P. J. P. L., Salas-González, I., Feltcher, M. E., Powers, M. J., Shank, E. A., et al. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2003962 · Cited by 268

Generation of Blastocyst-like Structures from Mouse Embryonic and Adult Cell Cultures

Li, R., Zhong, C., Yu, Y., Liu, H., Sakurai, M., Yu, L., Min, Z., Shi, L., Wei, Y., Takahashi, Y., et al. (2019) · Cell · doi:10.1016/j.cell.2019.09.029 · Cited by 266

Interactive Dynamics for Visual Analysis

Heer, J., & Shneiderman, B. (2012) · Queue · doi:10.1145/2133416.2146416 · Cited by 269

Composition, taxonomy and functional diversity of the oropharynx microbiome in individuals with schizophrenia and controls

Castro‐Nallar, E., Bendall, M. L., Pérez‐Losada, M., Sabunciyan, S., Severance, E. G., Dickerson, F., Schroeder, J. R., Yolken, R. H., & Crandall, K. A. (2015) · PeerJ · doi:10.7717/peerj.1140 · Cited by 272

stratag : An r package for manipulating, summarizing and analysing population genetic data

Archer, F. I., Adams, P. E., & Schneiders, B. B. (2016) · Molecular Ecology Resources · doi:10.1111/1755-0998.12559 · Cited by 268

Kaggle forecasting competitions: An overlooked learning opportunity

Bojer, C. S., & Meldgaard, J. P. (2020) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2020.07.007 · Cited by 294

B Cell Super-Enhancers and Regulatory Clusters Recruit AID Tumorigenic Activity

Qian, J., Wang, Q., Dose, M., Pruett, N. D., Kieffer-Kwon, K.-R., Resch, W., Liang, G., Tang, Z., Mathé, E. A., Benner, C. W., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.013 · Cited by 279

Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity

Carcamo‐Orive, I., Hoffman, G. E., Cundiff, P., Beckmann, N. D., D’Souza, S. L., Knowles, J. W., Patel, A., Hendry, C., Papatsenko, D., Abbasi, F., et al. (2016) · Cell stem cell · doi:10.1016/j.stem.2016.11.005 · Cited by 266

ggsashimi: Sashimi plot revised for browser- and annotation-independent splicing visualization

Garrido-Martín, D., Palumbo, E., Guigó, R., & Breschi, A. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006360 · Cited by 263

Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq

Swanson, E., Lord, C., Reading, J., Heubeck, A. T., Genge, P. C., Thomson, Z., Weiss, M. D., Li, X.-J., Savage, A. K., Green, R. R., et al. (2021) · eLife · doi:10.7554/elife.63632 · Cited by 267

Unexpected Diversity during Community Succession in the Apple Flower Microbiome

Shade, A. L., McManus, P. S., & Handelsman, J. (2013) · mBio · doi:10.1128/mbio.00602-12 · Cited by 266

Decadal trends in Red Sea maximum surface temperature

Chaidez, V., Dreano, D., Agustí, S., Duarte, C. M., & Hoteit, I. (2017) · Scientific Reports · doi:10.1038/s41598-017-08146-z · Cited by 276

Whole-Genome Resequencing of a Worldwide Collection of Rapeseed Accessions Reveals the Genetic Basis of Ecotype Divergence

Wu, D., Liang, Z., Yan, T., Xu, Y. C., Xuan, L., Tang, J., Zhou, G., Lohwasser, U., Hua, S., Wang, H., et al. (2018) · Molecular Plant · doi:10.1016/j.molp.2018.11.007 · Cited by 262

Metformin alters upper small intestinal microbiota that impact a glucose-SGLT1-sensing glucoregulatory pathway

Bauer, P. V., Duca, F. A., Waise, T. M. Z., Rasmussen, B. A., Abraham, M. A., Dranse, H. J., Puri, A., O’Brien, C. A., & Lam, T. K. T. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2017.09.019 · Cited by 265

Soil and Water Quality Rapidly Responds to the Perennial Grain Kernza Wheatgrass

Culman, S. W., Snapp, S. S., Ollenburger, M., Basso, B., & DeHaan, L. R. (2013) · Agronomy Journal · doi:10.2134/agronj2012.0273 · Cited by 264

High-Resolution Genome-wide Association Study Identifies Genomic Regions and Candidate Genes for Important Agronomic Traits in Wheat

Pang, Y., Liu, C., Wang, D., Amand, P. S., Bernardo, A., Li, W., He, F., Li, L., Wang, L., Yuan, X., et al. (2020) · Molecular Plant · doi:10.1016/j.molp.2020.07.008 · Cited by 264

Characterization of the Vaginal Micro- and Mycobiome in Asymptomatic Reproductive-Age Estonian Women

Drell, T., Lillsaar, T., Tummeleht, L., Simm, J., Aaspõllu, A., Väin, E., Saarma, I., Salumets, A., Donders, G. G. G., & METSIS, M. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054379 · Cited by 270

The Dynamic Epigenetic Landscape of the Retina During Development, Reprogramming, and Tumorigenesis

Aldiri, I., Xu, B., Wang, L., Chen, X. '., Hiler, D. J., Griffiths, L. M., Valentine, M. B., Shirinifard, A., Thiagarajan, S., Sablauer, A., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.04.022 · Cited by 252

Viral unmasking of cellular 5S rRNA pseudogene transcripts induces RIG-I-mediated immunity

Chiang, J. J., Sparrer, K. M. J., van Gent, M., Lässig, C., Huang, T., Osterrieder, N., Hopfner, K., & Gack, M. U. (2017) · Nature Immunology · doi:10.1038/s41590-017-0005-y · Cited by 260

An open-label, non-randomized study of the pharmacokinetics of the nutritional supplement nicotinamide riboside (NR) and its effects on blood NAD+ levels in healthy volunteers

Airhart, S. E., Shireman, L. M., Risler, L. J., Anderson, G. D., Gowda, G. A. N., Raftery, D., Tian, R., Shen, D. D., & O’Brien, K. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0186459 · Cited by 264

Evaluation of serum extracellular vesicle isolation methods for profiling miRNAs by next‐generation sequencing

Buschmann, D., Kirchner, B., Hermann, S., Märte, M., Wurmser, C., Brandes, F., Kotschote, S., von Bonin, M., Steinlein, O. K., Pfaffl, M. W., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1481321 · Cited by 261

Worldwide Prevalence of Epidermal Growth Factor Receptor Mutations in Non-Small Cell Lung Cancer: A Meta-Analysis

Melosky, B. L., Kambartel, K.-O., Häntschel, M., Bennetts, M., Nickens, D. J., Brinkmann, J., Kayser, A., Moran, M., & Cappuzzo, F. (2021) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-021-00563-1 · Cited by 287

Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events

Corcoran, J., Li, T., Rohde, D., Charles‐Edwards, E., & Mateo-Babiano, I. B. (2014) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2014.09.003 · Cited by 258

Transient Osmotic Perturbation Causes Long-Term Alteration to the Gut Microbiota

Tropini, C., Moss, E. L., Merrill, B. D., Ng, K. M., Higginbottom, S. K., Casavant, E., Gonzalez, C. G., Fremin, B. J., Bouley, D. M., Elias, J. E., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.008 · Cited by 259

Proteome-wide analysis of chaperone-mediated autophagy targeting motifs

Kirchner, P., Bourdenx, M., Madrigal-Matute, J., Tiano, S., Diaz, A., Bartholdy, B. A., Will, B., & Cuervo, A. M. (2019) · PLOS Biology · doi:10.1371/journal.pbio.3000301 · Cited by 257

Linking Bacterial-Fungal Relationships to Microbial Diversity and Soil Nutrient Cycling

Jiao, S., Peng, Z., Qi, J., Gao, J., & Wei, G. (2021) · mSystems · doi:10.1128/msystems.01052-20 · Cited by 274

Gut feelings: a randomised, triple-blind, placebo-controlled trial of probiotics for depressive symptoms

Chahwan, B., Kwan, S., Isik, A., van Hemert, S., Burke, C., & Roberts, L. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.04.097 · Cited by 256

Plant growth promoting rhizobacteria are more effective under drought: a meta-analysis

Rubin, R. L., van Groenigen, K. J., & Hungate, B. A. (2017) · Plant and Soil · doi:10.1007/s11104-017-3199-8 · Cited by 274

Single-cell RNAseq reveals seven classes of colonic sensory neuron

Hockley, J. R. F., Taylor, T. S., Callejo, G., Wilbrey, A. L., Gutteridge, A., Bach, K., Winchester, W. J., Bulmer, D. C., McMurray, G., & Smith, E. S. J. (2018) · Gut · doi:10.1136/gutjnl-2017-315631 · Cited by 261

Breaking the prejudice habit: Mechanisms, timecourse, and longevity

Forscher, P. S., Mitamura, C., Dix, E. L., Cox, W. T. L., & Devine, P. G. (2017) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2017.04.009 · Cited by 264

Deciphering the rules by which 5′-UTR sequences affect protein expression in yeast

Dvir, S., Velten, L., Sharon, E., Zeevi, D., Carey, L. B., Weinberger, A., & Segal, E. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222534110 · Cited by 246

Effects of a Resuscitation Strategy Targeting Peripheral Perfusion Status versus Serum Lactate Levels among Patients with Septic Shock. A Bayesian Reanalysis of the ANDROMEDA-SHOCK Trial

Zampieri, F. G., Damiani, L. P., Bakker, J., Ospina-Tascón, G. A., Castro, R., Cavalcanti, A. B., & Glenn Hernández, P. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201905-0968oc · Cited by 253

Microplastics accumulate fungal pathogens in terrestrial ecosystems

Gkoutselis, G., Rohrbach, S., Harjes, J., Obst, M., Brachmann, A., Horn, M. A., & Rambold, G. (2021) · Scientific Reports · doi:10.1038/s41598-021-92405-7 · Cited by 263

dlexDB – eine lexikalische Datenbank für die psychologische und linguistische Forschung

Heister, J., Würzner, K.-M., Bubenzer, J., Pohl, E., Hanneforth, T., Geyken, A., & Kliegl, R. M. (2011) · Psychologische Rundschau · doi:10.1026/0033-3042/a000029 · Cited by 252

RNA m6A methylation participates in regulation of postnatal development of the mouse cerebellum

Ma, C., Chang, M., Lv, H., Zhang, Z., Zhang, W., He, X., Wu, G., Zhao, S., Zhang, Y., Wang, D., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1435-z · Cited by 250

Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding

Shung, D. L., Au, B., Taylor, R. A., Tay, J. K., Laursen, S. B., Stanley, A. J., Dalton, H. R., Ngu, J., Schultz, M., & Laine, L. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.09.009 · Cited by 227

A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters

Demircioğlu, D., Cukuroglu, E., Kindermans, M., Nandi, T., Calabrese, C., Fonseca, N. A., Kahles, A., Lehmann, K.-V., Stegle, O., Brazma, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.018 · Cited by 250

The origin of early Acheulean expansion in Europe 700 ka ago: new findings at Notarchirico (Italy)

Moncel, M., Santagata, C., Pereira, A., Nomade, S., Voinchet, P., Bahain, J., Daujeard, C., Curci, A., Lemorini, C., Hardy, B., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-68617-8 · Cited by 252

Proximal colon–derived O-glycosylated mucus encapsulates and modulates the microbiota

Bergstrom, K., Shan, X., Casero, D., Batushansky, A., Lagishetty, V., Jacobs, J. P., Hoover, C., Kondo, Y., Shao, B., Gao, L., et al. (2020) · Science · doi:10.1126/science.aay7367 · Cited by 248

Prevalence of Pre-existing Antibodies to CRISPR-Associated Nuclease Cas9 in the USA Population

Simhadri, V. L., McGill, J., McMahon, S., Wang, J., Jiang, H., & Sauna, Z. E. (2018) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2018.06.006 · Cited by 241

Chronic Trichuris muris Infection Decreases Diversity of the Intestinal Microbiota and Concomitantly Increases the Abundance of Lactobacilli

Holm, J. B., Sorobetea, D., Kiilerich, P., Ramayo‐Caldas, Y., Estellé, J., Ma, T., Madsen, L., Kristiansen, K., & Svensson, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125495 · Cited by 254

Prenatal Exposure to Polycyclic Aromatic Hydrocarbons, Benzo[ a ]pyrene–DNA Adducts, and Genomic DNA Methylation in Cord Blood

Herbstman, J. B., Tang, D. L., Zhu, D., Qu, L., Sjödin, A., Li, Z., Camann, D., & Perera, F. P. (2012) · Environmental Health Perspectives · doi:10.1289/ehp.1104056 · Cited by 248

Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation

Marwick, B. (2017) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-015-9272-9 · Cited by 179

Whole Genome Analyses Suggests that Burkholderia sensu lato Contains Two Additional Novel Genera (Mycetohabitans gen. nov., and Trinickia gen. nov.): Implications for the Evolution of Diazotrophy and Nodulation in the Burkholderiaceae

Santos, P. E. L., Palmer, M., Chávez‐Ramírez, B., Beukes, C. W., Steenkamp, E. T., Briscoe, L., Khan, N., Maluk, M., Lafos, M., Humm, E. A., et al. (2018) · Genes · doi:10.3390/genes9080389 · Cited by 246

Microbial biogeography of 925 geothermal springs in New Zealand

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Ryan, C. (2021) · CRC Press eBooks · doi:10.1201/9781003106845-12

^DOWNLOAD E.B.O.O.K.# ggplot2: Elegant Graphics for Data Analysis (Use R!) Full PDF

PDF, ^. E. B. O. O. K. #. G. E. G. F. D. A. (. R. F. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.4189363

DOWNLOAD in [PDF] ggplot2: Elegant Graphics for Data Analysis (Use R!) Full Pages

Pages, D. I. [. G. E. G. F. D. A. (. R. F. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.4188991

Visualization with ggplot2

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